When we recently surveyed architectural and engineering/construction firms (A&E/Cs) and asked what trends or forces they see driving automation projects, every firm mentioned “labor” or “workforce availability” in its initial response.
AI use in food processing is expected to have a compound annual growth rate of 45% between now and 2026, promising improved safety and food quality, according to HUB Risk Services. But AI in food processing is not without risk.
Good data—and lots of it—is key to making artificial intelligence/machine learning (AI/ML) production, inspection and packaging systems work without a hitch, plus well written algorithms to analyze the data and make decisions that will help people and machines function more intelligently.
Without sensor data, you can’t control a process—much less begin a digital transformation at your facility. KPIs (Key performance indicators) are a way to measure how your process, packaging or even your palletizing areas are performing, but to get these KPIs requires sensor data.